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Component: MFG-ME
Component Name: SAP Manufacturing Execution
Description: Sample-based in-process inspection executed according to applicable ANSI standard or custom sample plan. Decision to accept or reject the sample depends on NC codes logged on the sample routing.
Key Concepts: Sampling is a process used in Manufacturing Execution (MFG-ME) SAP to collect data from a production process. It involves taking a sample of the product or material being produced and analyzing it to determine the quality of the product or material. Sampling can be used to identify potential problems in the production process, such as contamination or defects, and can help ensure that the product meets quality standards. How to use it: In MFG-ME SAP, sampling is typically done by taking a sample of the product or material being produced and then analyzing it for any potential problems. The sample can be taken manually or automatically, depending on the type of production process. Once the sample has been taken, it can be analyzed using various methods, such as visual inspection, chemical analysis, or physical testing. The results of the analysis can then be used to identify any potential problems in the production process and take corrective action if necessary. Tips & Tricks: When sampling in MFG-ME SAP, it is important to ensure that the sample is representative of the entire production process. This means that the sample should be taken from different parts of the production line and should include a variety of different materials or products. Additionally, it is important to ensure that the sample is taken at regular intervals throughout the production process in order to identify any potential problems as soon as possible. Related Information: In addition to sampling, MFG-ME SAP also includes other quality control processes such as inspection and testing. These processes are used to ensure that products meet quality standards and are free from defects or contamination. Additionally, MFG-ME SAP also includes tools for tracking and analyzing production data in order to identify areas for improvement and optimize production processes.